Hybrid Conferencee

International Conference on Meta-Learning for Engineering Problems (ICMLEP - 26)

26th - 27th June 2026 | Dubai, UAE
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Dubai. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Dubai event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Dubai conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Dubai, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Dubai."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLEP aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Meta-learning techniques for engineering problems
02
Applications of meta-learning in AI
03
Improving model generalization with meta-learning
04
Case studies in meta-learning applications
05
Challenges in meta-learning research
06
Transfer learning and meta-learning synergy
07
Meta-learning for hyperparameter optimization
08
Real-world applications of meta-learning
09
Data-efficient learning with meta-learning
10
Ethical considerations in meta-learning
11
Future trends in meta-learning research
12
Collaborative meta-learning frameworks
13
Meta-learning for time-series analysis
14
User experiences with meta-learning tools
15
Meta-learning in reinforcement learning contexts
16
Benchmarking meta-learning methodologies
17
Meta-learning for adaptive systems
18
Applications in robotics and automation
19
Meta-learning for personalized learning systems
20
Impact of meta-learning on AI development